Results 181 to 190 of about 63,993 (274)

Latex Serum‐Derived Supramolecular Networks Enable Toughening of Natural Rubber

Macromolecular Rapid Communications, EarlyView.
Latex‐serum addition enhances strain‐induced crystallization (SIC) toughening in natural rubber, increasing tearing strength and extending the SIC activation window. Supramolecular networks form via bifurcated hydrogen bonding between polyol components (e.g., quebrachitol) and end‐functionalized polyisoprene chains, serving as effective crystallization
Katsuhiko Tsunoda, Mayank Dixit, Yasuhiro Shoda, Yuji Kitamura, Takashi Taniguchi, Kenji Urayama   +5 more
wiley   +1 more source

Metastability in the mixing/demixing of two species with reciprocally concentration-dependent diffusivity. [PDF]

Front Netw Physiol
Neiman AB, Dong X, Lindner B.
europepmc   +1 more source

Systematic Deciphering of ATBC Nephrotoxicity Mechanisms via Machine Learning and Single‐Cell Analysis

Medicine Bulletin, EarlyView.
This study elucidates the nephrotoxic mechanism of acetyl tributyl citrate (ATBC) by integrating network toxicology, machine learning, and single‑cell multi‑omics analysis to systematically decipher the molecular mechanisms and cell‑type‑specific regulatory networks underlying ATBC‑induced kidney injury. First, a protein‑protein interaction network was
Yimao Wu, Yalun Liang, Jintao Liang, Wenlong Sun, Qian Zhang, Meng‐Yao Li   +5 more
wiley   +1 more source

Nonlinear Stability in a Free Boundary Model of Active Locomotion. [PDF]

Arch Ration Mech Anal
Berlyand L, Safsten CA, Truskinovsky L.
europepmc   +1 more source

Selective Electroreduction of CO2 to Ethanol: Mechanistic Understanding and Catalyst Development

MetalMat, EarlyView.
We aim to elucidate underlying design principles, identify critical bottlenecks, and highlight promising directions for developing scalable, efficient, and selective CO2 reduction reaction platforms toward sustainable ethanol production. ABSTRACT The electrochemical reduction of carbon dioxide (CO2RR) has garnered significant attention as a promising ...
Suwon Rhi, Sungwook Park, Do Yeon Heo, Soshi Iimura, Soo Young Kim   +4 more
wiley   +1 more source

Revisiting the excess volatility puzzle through the lens of the Chiarella model. [PDF]

PLoS One
Kurth JG, Majewski AA, Bouchaud JP.
europepmc   +1 more source

Deep Learning‐Based Prediction of Controllable Stress/Strain‐Rate Loading and Design for Loading Conditions

Materials Genome Engineering Advances, EarlyView.
This study establishes the relationship between loading conditions and loading results in graded density impactor (GDI)‐based controllable stress/strain‐rate loading via deep learning, and ultimately realizing the prediction of loading curves and design of loading conditions.
Yiwei Zhang, Ruizhi Zhang, Junbang Jiang, Yahui Huang, Han Chen, Jian Zhang, Guoqiang Luo, Qiang Shen   +7 more
wiley   +1 more source

The effect of self-induced Marangoni flow on polar-nematic waves in active-matter systems. [PDF]

Eur Phys J E Soft Matter
Pototsky A, Thiele U.
europepmc   +1 more source

On the analyzing of bifurcation properties of the one‐dimensional Mackey–Glass model by using a generalized approach

Mathematical Methods in the Applied Sciences, EarlyView.
The goal of this work is to look at how a nonlinear model describes hematopoiesis and its complexities utilizing commonly used techniques with historical and material links. Based on time delay, the Mackey–Glass model is explored in two instances. To offer a range, the relevance of the parameter impacting stability (bifurcation) is recorded.
Shuai Zhang, Yaya Wang, Hongyin Geng, Wei Gao, Esin Ilhan, Haci Mehmet Baskonus   +5 more
wiley   +1 more source

Assessing and comparing early warning signal performance in spatially-structured systems. [PDF]

PLoS One
Robinson GE, Donovan GM.
europepmc   +1 more source